code: def model_builder(model_dir):
      sklearn_model = RandomForestClassifier(
          class_weight="balanced", n_estimators=500
      )
      return dc.models.SklearnModel(sklearn_model, model_dir)
  
file_path: deepchem/examples/muv/muv_sklearn.py
imports: from __future__ import print_function
  from __future__ import division
  from __future__ import unicode_literals
  import os
  import shutil
  import numpy
  import deepchem
  from deepchem.molnet import load_muv
  from sklearn.ensemble import RandomForestClassifier
label_desc: Use image node_id 1 for calling a global function with example usage: model_builder(model_dir) and returns: dc